Compare Pengxin to Dhc, Fujian, Zhengzhou, Linewell, Guangdong, Tianjin

Comparing Pengxin to Dhc, Fujian, Zhengzhou, Linewell, Guangdong, Tianjin can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.

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Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.

	600490	002065	600753	601717	603636	300221	603969
600490		0.77	0.76	0.82	0.82	0.89	0.82	600490
002065	0.77		0.74	0.56	0.86	0.8	0.86	002065
600753	0.76	0.74		0.68	0.85	0.87	0.82	600753
601717	0.82	0.56	0.68		0.67	0.76	0.68	601717
603636	0.82	0.86	0.85	0.67		0.91	0.86	603636
300221	0.89	0.8	0.87	0.76	0.91		0.85	300221
603969	0.82	0.86	0.82	0.68	0.86	0.85		603969
	600490	002065	600753	601717	603636	300221	603969

Click cells to compare fundamentals

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Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
600490	2.88	0.84	0.29	(5.76)	2.47	(3.69)	9.87	(3.76)	20.01
002065	2.77	0.90	0.23	4.95	3.15	(3.30)	9.97	(4.74)	19.97
600753	3.07	0.46	0.12	0.86	3.59	(3.38)	8.42	(5.42)	18.26
601717	1.60	0.28	0.11	5.16	2.10	(1.70)	3.15	(2.67)	16.88
603636	3.08	0.63	0.13	0.65	3.92	(3.02)	9.77	(7.69)	19.87
300221	2.79	0.45	0.09	0.98	4.53	(2.66)	6.33	(5.87)	28.98
603969	2.36	0.77	0.27	(3.42)	2.02	(3.08)	6.72	(4.34)	17.65

Cross Equities Net Income Analysis

Compare Pengxin International, Dhc Software, and Fujian Oriental Silver Net Income Over Time

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
600490	11.8 M	127.8 M	127.8 M	98.8 M	75.3 M	19.6 M	51.5 M	301.2 M	198.4 M	310.8 M	462.8 M	74.4 M	(623 M)	(107.9 M)	(102.5 M)
002065	37 M	421 M	569.2 M	770.9 M	1 B	1.1 B	899.6 M	663.8 M	806.4 M	583.7 M	550.4 M	459.5 M	399.7 M	438.4 M	512.4 M
600753	5.4 M	1.5 M	1.5 M	357 K	357 K	38.6 M	2.6 M	19 M	20.9 M	19.4 M	21.3 M	(50 M)	14.2 M	(51.5 M)	(48.9 M)
601717	203.6 M	1.2 B	1.6 B	866.7 M	205.2 M	42.2 M	62 M	284.3 M	832.3 M	1 B	1.2 B	1.9 B	2.5 B	3.3 B	3.4 B
603636	59.7 M	59.7 M	71.1 M	79.5 M	86.9 M	63.1 M	51.5 M	103 M	172.5 M	213.5 M	239.5 M	135.5 M	137.9 M	56.3 M	53.5 M
300221	24.4 M	52.2 M	33.9 M	12 M	23.8 M	40.2 M	153 M	218.6 M	(805.2 M)	10.1 M	101 M	73.5 M	(5.6 M)	27 M	28.4 M
603969	59.5 M	59.5 M	54.2 M	121.9 M	131.4 M	128.5 M	144.9 M	118.3 M	150.4 M	166.1 M	136.6 M	146.6 M	103.9 M	171.6 M	138.2 M

Pengxin International, Dhc Software, and Fujian Oriental Silver Net Income description

Net income is one of the most important fundamental items in finance. It plays a large role in entities financial statement analysis. It represents the amount of money remaining after all of organizations operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.

Competitive Analysis

Better Than Average

Worse Than Peers

View Performance Chart

	600490	002065	600753	601717	603636	300221	603969
	10.14 3.80 Pengxin	2.19 7.92 Dhc	3.21 7.07 Fujian	0.85 12.88 Zhengzhou	0.17 11.56 Linewell	1.89 6.46 Guangdong	0.77 6.56 Tianjin
Market Volatility (90 Days Market Risk)	Unstable	Slightly risky	Slightly risky	Not too volatile	Somewhat reliable	Moderately volatile	Slightly risky
Market Performance (90 Days Performance)	OK	Solid	OK	OK	OK	Modest	Solid
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Very Small	Low	Very Small	Below Average	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Fairly Valued	Fairly Valued	Fairly Valued	Fairly Valued	Over Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Cautious Hold	Cautious Hold	Hold	Strong Hold	Cautious Hold	Cautious Hold	Sell
Net Asset	8.25 B	23.64 B	460.5 M	49.17 B	6.13 B	1.85 B	3.37 B
Profit Margin	(0.04) %	0.03 %	(0.16) %	0.10 %	(0.03) %	0.02 %	0.08 %
EBITDA	47.02 M	537.27 M	(64.35 M)	6.01 B	76.75 M	113.66 M	316.28 M
Operating Margin	0.01 %	0.08 %	(0.64) %	0.15 %	(0.40) %	0.05 %	0.11 %
Current Valuation	7.33 B	29.84 B	1.61 B	18.3 B	8.09 B	3.31 B	6.03 B
Price To Book	1.27 X	2.15 X	9.91 X	1.05 X	2.67 X	2.28 X	2.36 X
Retained Earnings	339.55 M	4.65 B	(133.75 M)	12.16 B	785.97 M	(165.15 M)	986.38 M
Beta	1.03	0.3	0.92	0.57	0.61	0.77	N/A
Number Of Employees	1.48 K	11.59 K	127	16.84 K	2.67 K	958	993
Shares Outstanding	2.21 B	3.21 B	230.31 M	1.54 B	580.36 M	477.82 M	854.76 M
Cash Flow From Operations	(60.33 M)	249.99 M	34.88 M	3.06 B	(171.25 M)	57.23 M	(71.02 M)
Annual Yield	N/A	0.01 %	N/A	N/A	N/A	N/A	N/A
Total Debt	827.9 M	4.42 B	12 M	662.06 M	1.19 B	53.55 M	262.08 M
Return On Equity	-0.0472	0.0293	-0.46	0.19	-0.0133	0.0288	0.1
Return On Asset	-0.0187	0.0159	-0.11	0.0644	-0.0077	0.0234	0.0498
Book Value Per Share	2.71 X	3.68 X	0.69 X	12.32 X	4.32 X	2.90 X	2.75 X
Total Asset	8.25 B	23.64 B	460.5 M	49.17 B	6.13 B	1.85 B	3.37 B
Target Price	N/A	3.8	N/A	18.45	19.36	22.7	N/A
Last Dividend Paid	N/A	0.05	N/A	0.84	0.049	N/A	0.07
Shares Owned By Institutions	1.04 %	4.72 %	0.43 %	17.11 %	1.63 %	0.68 %	8.50 %
Market Capitalization	8.41 B	25.36 B	1.61 B	22.35 B	6.76 B	3.1 B	5.68 B
Price To Earnings To Growth	N/A	0.52 X	N/A	N/A	N/A	N/A	N/A
Price To Sales	1.88 X	2.07 X	2.77 X	0.60 X	5.03 X	1.66 X	1.93 X
Net Income	(107.86 M)	438.43 M	(51.5 M)	3.27 B	56.29 M	27.03 M	171.56 M
Earnings Per Share	(0.08) X	0.12 X	(0.39) X	2.17 X	(0.06) X	0.09 X	0.26 X
Shares Owned By Insiders	38.50 %	39.76 %	50.56 %	35.03 %	45.63 %	14.51 %	42.28 %
Revenue	5.37 B	11.48 B	818.12 M	36.42 B	1.68 B	1.67 B	2.75 B
Working Capital	532.16 M	8.73 B	136.21 M	17.6 B	562.38 M	634.76 M	1.61 B
Gross Profit	100.61 M	2.74 B	23.26 M	6.64 B	605.2 M	290.34 M	328.36 M
Day Typical Price	3.69	7.91	6.97	12.92	11.55	6.43	6.58
Accumulation Distribution	20.7 M	2 M	183279.0	205142.0	240106.0	881694.0	946264.0
Daily Balance Of Power	1.060606	0.8095	0.7586	(0.73)	0.0667	0.48	0.2381
Period Momentum Indicator	0.35	0.17	0.22	(0.11)	0.02	0.12	0.05
Rate Of Daily Change	1.1	1.02	1.03	0.99	1.0	1.02	1.01
Day Median Price	3.64	7.9	6.93	12.95	11.54	6.42	6.6
Price Action Indicator	0.34	0.1	0.26	(0.12)	0.03	0.1	(0.01)
Relative Strength Index	52.63	58.26	54.7	54.58	51.75	54.83	75.0
Coefficient Of Variation	467.09	434.11	827.01	770.23	637.13	860.53	416.61
Mean Deviation	2.88	2.77	3.07	1.6	3.08	2.79	2.36
Jensen Alpha	0.8377	0.9028	0.4628	0.2848	0.6304	0.4537	0.7671
Total Risk Alpha	0.718	0.7896	0.3573	0.2188	0.5291	0.3443	0.6671
Sortino Ratio	0.2862	0.2317	0.1196	0.1113	0.1317	0.0886	0.2748
Downside Variance	8.03	14.54	14.31	5.57	22.93	24.81	7.22
Standard Deviation	3.94	3.98	4.02	2.28	4.23	4.09	3.22
Kurtosis	1.23	1.3	0.3059	5.03	0.7951	4.18	0.8024
Potential Upside	9.87	9.97	8.42	3.15	9.77	6.33	6.72
Treynor Ratio	(5.76)	4.95	0.8592	5.16	0.6505	0.9765	(3.42)
Maximum Drawdown	20.01	19.97	18.26	16.88	19.87	28.98	17.65
Variance	15.55	15.85	16.14	5.2	17.89	16.7	10.34
Market Risk Adjusted Performance	(5.75)	4.96	0.8692	5.17	0.6605	0.9865	(3.41)
Risk Adjusted Performance	0.178	0.1909	0.104	0.1096	0.1328	0.1003	0.1981
Skewness	0.7608	0.229	0.1334	(0.44)	(0.13)	(0.66)	0.3979
Semi Deviation	2.47	3.15	3.59	2.1	3.92	4.53	2.02
Information Ratio	0.2056	0.222	0.1126	0.1152	0.1491	0.108	0.2296
Value At Risk	(3.76)	(4.74)	(5.42)	(2.67)	(7.69)	(5.87)	(4.34)
Expected Short fall	(3.69)	(3.30)	(3.38)	(1.70)	(3.02)	(2.66)	(3.08)
Downside Deviation	2.83	3.81	3.78	2.36	4.79	4.98	2.69
Semi Variance	6.09	9.9	12.89	4.4	15.39	20.51	4.08

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.

Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Five steps to successful analysis of competition

Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.

Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

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